BackgroundSurgical scars are crucial cosmetic problem, especially when in exposed areas such as the anterior neck following thyroidectomy.ObjectiveTo evaluate the impact of post-thyroidectomy scars on quality of life (QoL) of thyroid cancer patients and identify the relationship between scar characteristics and QoL.MethodsPatients with post-thyroidectomy scars on the neck were recruited. QoL was measured using the Dermatology Life Quality Index (DLQI). Scar characteristics were graded according to Vancouver scar scale (VSS) score.ResultsNinety-seven patients completed a battery of questions at the time of enrollment. Post-thyroidectomy scars were classified according to morphology as linear flat scars, linear bulging scars, hypertrophic scars or adhesive scars. There were 32 patients (33.0%), 9 patients (9.3%), 41 patients (42.3%) and 15 patients (15.5%), respectively, in each group. The mean total DLQI score was 9.02. Domain 2 (daily activities, 2.87 points), which includes questions about clothing, was the most greatly impacted among patients. The total DLQI scores of patients who have experienced scar-related symptoms were significantly higher than those of patients without symptoms (p<0.05). The VSS scores were 3.09 for linear flat scars, 6.89 for linear bulging scars, 6.29 for hypertrophic scars and 5.60 for adhesive scars. However, the DLQI scores did not significantly differ among scar types or VSS scores.ConclusionPost-thyroidectomy scars on the neck affect the QoL of thyroid cancer patients regardless of scar type. Therefore, clinicians should pay attention to the psychological effects of scars on patients and take care to minimize post-thyroidectomy scar.
Epidermolysis bullosa acquisita (EBA) is an acquired, autoimmune blistering disorder caused by autoantibody production against type VII collagen. The aim of this study was to examine the clinical types, treatments, and outcomes of 30 patients with EBA. In our cohort, the median age of onset was 44.0 years, with a similar incidence for both genders (46.7% male, 53.3% female). The majority of patients had classic type (36.7%) and bullous pemphigoid (BP)-like type (46.7%) EBA. The remaining patients had mucous membrane pemphigoid-like (6.7%), Brunsting-Perry pemphigoid-like (6.7%), and linear IgA bullous dermatosis-like type (3.3%) EBA. All patients were treated initially with a combination of methylprednisolone, dapsone and colchicine. No significant differences in time to remission were identified between patients with classic vs. BP-like EBA. In a second subset analysis of 19 patients, a group treated with high-dose (> 8 mg) methylprednisolone achieved remission earlier (median time to remission: 3 months) than a group treated with low-dose (≤ 8 mg) methylprednisolone (median time to remission: 12 months), irrespective of clinical type (p = 0.003).
BackgroundLittle is known about the functional health literacy (FHL) associated with medication adherence in elderly patients. The aim of this study was to examine the FHL among older adults and identify influencing factors that can predict medication adherence.MethodsThis was a cross-sectional survey. Participants (n=160) aged 65 years and older were selected from outpatient clinics of 3 tertiary care hospitals, 6 community pharmacies, and 2 senior centers between November 1 and 30, 2014. The participants’ FHL was measured using the Korean Functional Health Literacy Test, which consists of 15 items including 8 numeracy and 7 reading comprehension items. Medication adherence was measured by the Adherence to Refills and Medication Scale. Descriptive statistics, chi-square or Fisher’s exact test, and multiple regression analyses were used to analyze the data.ResultsThe mean score of the total FHL was 7.72±3.51 (range 0–15). The percentage of the total number of correct answers for the reading comprehension subtest and numeracy subtest were 48.1% and 54.4%, respectively. Among 160 participants, 52.5% showed low adherence to medication. The factors affecting medication adherence included the patient’s degree of satisfaction with the service (β=−0.215, P=0.022), sufficient explanation of medication counseling (β=−0.335, P=0.000), education level (β=−0.153, P=0.045), health-related problems (β=−0.239, P=0.004), and dosing frequency (β=0.189, P=0.018).ConclusionIn this study, we found medication adherence of elderly patients was associated with education level, health-related problems, dosing frequency, satisfaction with patient counseling, and explanation of medication, but no association was found with FHL. Pharmacists should consider elderly patients’ individual characteristics such as educational background and specific patient-related health problems, provide sufficient information and explanation of medication, and ensure patient satisfaction with the counseling.
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